A Comparative Method for Studying Adaptation to a Randomly Evolving Environment

Thomas F. Hansen; Jason Pienaar; Steven Hecht Orzack

doi:10.1111/j.1558-5646.2008.00412.x

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1 August 2008 A Comparative Method for Studying Adaptation to a Randomly Evolving Environment

Thomas F. Hansen, Jason Pienaar, Steven Hecht Orzack

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Evolution, 62(8):1965-1977 (2008). https://doi.org/10.1111/j.1558-5646.2008.00412.x

Abstract

Most phylogenetic comparative methods used for testing adaptive hypotheses make evolutionary assumptions that are not compatible with evolution toward an optimal state. As a consequence they do not correct for maladaptation. The “evolutionary regression” that is returned is more shallow than the optimal relationship between the trait and environment. We show how both evolutionary and optimal regressions, as well as phylogenetic inertia, can be estimated jointly by a comparative method built around an Ornstein–Uhlenbeck model of adaptive evolution. The method considers a single trait adapting to an optimum that is influenced by one or more continuous, randomly changing predictor variables.

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Thomas F. Hansen, Jason Pienaar, and Steven Hecht Orzack "A Comparative Method for Studying Adaptation to a Randomly Evolving Environment," Evolution 62(8), 1965-1977, (1 August 2008). https://doi.org/10.1111/j.1558-5646.2008.00412.x

Received: 26 September 2007; Accepted: 9 April 2008; Published: 1 August 2008

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